R_hat                   Compute Gelman-Rubin statistic
RprobitB_parameter      Define probit model parameter
as_cov_names            Re-label alternative specific covariates
check_form              Check model formula
check_prior             Check prior parameters
choice_probabilities    Compute choice probabilities
classification          Preference-based classification of deciders
coef.RprobitB_fit       Extract model effects
compute_p_si            Compute choice probabilities at posterior
                        samples
cov_mix                 Extract estimated covariance matrix of mixing
                        distribution
create_lagged_cov       Create lagged choice covariates
d_to_gamma              Transform increments to thresholds
fit_model               Fit probit model to choice data
get_cov                 Extract covariates of choice occasion
gibbs_sampler           Gibbs sampler for probit models
ll_ordered              Compute ordered probit log-likelihood
mml                     Approximate marginal model likelihood
mode_approx             Gibbs sample mode
model_selection         Compare fitted models
npar                    Extract number of model parameters
overview_effects        Print effect overview
plot.RprobitB_fit       Visualize fitted probit model
plot_class_allocation   Plot class allocation (for 'P_r = 2' only)
plot_mixture_contour    Plot bivariate contour of mixing distributions
plot_roc                Plot ROC curve
point_estimates         Compute point estimates
pred_acc                Compute prediction accuracy
predict.RprobitB_fit    Predict choices
prepare_data            Prepare choice data for estimation
sample_allocation       Sample allocation
simulate_choices        Simulate choice data
train_choice            Stated Preferences for Train Traveling
train_test              Split choice data into train and test subset
transform.RprobitB_fit
                        Transform fitted probit model
update.RprobitB_fit     Update and re-fit probit model
update_Omega            Update class covariances
update_Omega_c          Update covariance of a single class
update_Sigma            Update error covariance matrix
update_U                Update utility vector
update_U_ranked         Update ranked utility vector
update_b                Update class means
update_b_c              Update mean of a single class
update_classes_dp       Dirichlet process class updates
update_classes_wb       Weight-based class updates
update_coefficient      Update coefficient vector
update_d                Update utility threshold increments
update_m                Update class sizes
update_s                Update class weight vector
update_z                Update class allocation vector
